A simulation of synthetic agr system in E.coli

Xiangmiao Zeng; Ke Liu; Fangping Xie; Ying Zhang; Lei Qiao; Cuihong Dai; Aiju Hou; Dechang Xu

doi:10.1007/978-3-642-38036-5_11

A simulation of synthetic agr system in E.coli

Xiangmiao Zeng, Ke Liu, Fangping Xie, Ying Zhang, Lei Qiao, Cuihong Dai, Aiju Hou, Dechang Xu

Harbin Institute of Technology

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Abstract

Staphylococcus aureus (S.aureus) is an important human pathogen. Its strong infection ability benefits from the quorum-sensing system agr (accessory gene regulator). In order to eliminate S.aureus from the environment, an engineered E.coli was designed. It can sense the extracellular AIP (auto-inducing peptide) and then, as a response, produce Lysostaphin to kill S.aureus. To characterizing how E.coli sense S.aureus and secrete Lysostaphin, a mathematical model was developed. According to the model, it is at least 2.5 hours for the system to sense the AIP (S.aureus) and then produce enough Lysostaphin to kill the S.aureus, and therefore keep the AIP concentration at a relative low condition.

Original language	English
Title of host publication	Bioinformatics Research and Applications - 9th International Symposium, ISBRA 2013, Proceedings
Pages	76-86
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-642-38036-5_11
Publication status	Published - 2013
Externally published	Yes
Event	9th International Symposium on Bioinformatics Research and Applications, ISBRA 2013 - Charlotte, NC, United States Duration: 20 May 2013 → 22 May 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7875 LNBI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Symposium on Bioinformatics Research and Applications, ISBRA 2013
Country/Territory	United States
City	Charlotte, NC
Period	20/05/13 → 22/05/13

Keywords

agr
E.coli
quorum-sensing system
S.aureus
simulation

Access to Document

10.1007/978-3-642-38036-5_11

Cite this

Zeng, X., Liu, K., Xie, F., Zhang, Y., Qiao, L., Dai, C., Hou, A., & Xu, D. (2013). A simulation of synthetic agr system in E.coli. In Bioinformatics Research and Applications - 9th International Symposium, ISBRA 2013, Proceedings (pp. 76-86). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7875 LNBI). https://doi.org/10.1007/978-3-642-38036-5_11

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title = "A simulation of synthetic agr system in E.coli",

abstract = "Staphylococcus aureus (S.aureus) is an important human pathogen. Its strong infection ability benefits from the quorum-sensing system agr (accessory gene regulator). In order to eliminate S.aureus from the environment, an engineered E.coli was designed. It can sense the extracellular AIP (auto-inducing peptide) and then, as a response, produce Lysostaphin to kill S.aureus. To characterizing how E.coli sense S.aureus and secrete Lysostaphin, a mathematical model was developed. According to the model, it is at least 2.5 hours for the system to sense the AIP (S.aureus) and then produce enough Lysostaphin to kill the S.aureus, and therefore keep the AIP concentration at a relative low condition.",

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author = "Xiangmiao Zeng and Ke Liu and Fangping Xie and Ying Zhang and Lei Qiao and Cuihong Dai and Aiju Hou and Dechang Xu",

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Zeng, X, Liu, K, Xie, F, Zhang, Y, Qiao, L, Dai, C, Hou, A & Xu, D 2013, A simulation of synthetic agr system in E.coli. in Bioinformatics Research and Applications - 9th International Symposium, ISBRA 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7875 LNBI, pp. 76-86, 9th International Symposium on Bioinformatics Research and Applications, ISBRA 2013, Charlotte, NC, United States, 20/05/13. https://doi.org/10.1007/978-3-642-38036-5_11

A simulation of synthetic agr system in E.coli. / Zeng, Xiangmiao; Liu, Ke; Xie, Fangping et al.
Bioinformatics Research and Applications - 9th International Symposium, ISBRA 2013, Proceedings. 2013. p. 76-86 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7875 LNBI).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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AU - Hou, Aiju

AU - Xu, Dechang

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N2 - Staphylococcus aureus (S.aureus) is an important human pathogen. Its strong infection ability benefits from the quorum-sensing system agr (accessory gene regulator). In order to eliminate S.aureus from the environment, an engineered E.coli was designed. It can sense the extracellular AIP (auto-inducing peptide) and then, as a response, produce Lysostaphin to kill S.aureus. To characterizing how E.coli sense S.aureus and secrete Lysostaphin, a mathematical model was developed. According to the model, it is at least 2.5 hours for the system to sense the AIP (S.aureus) and then produce enough Lysostaphin to kill the S.aureus, and therefore keep the AIP concentration at a relative low condition.

AB - Staphylococcus aureus (S.aureus) is an important human pathogen. Its strong infection ability benefits from the quorum-sensing system agr (accessory gene regulator). In order to eliminate S.aureus from the environment, an engineered E.coli was designed. It can sense the extracellular AIP (auto-inducing peptide) and then, as a response, produce Lysostaphin to kill S.aureus. To characterizing how E.coli sense S.aureus and secrete Lysostaphin, a mathematical model was developed. According to the model, it is at least 2.5 hours for the system to sense the AIP (S.aureus) and then produce enough Lysostaphin to kill the S.aureus, and therefore keep the AIP concentration at a relative low condition.

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Zeng X, Liu K, Xie F, Zhang Y, Qiao L, Dai C et al. A simulation of synthetic agr system in E.coli. In Bioinformatics Research and Applications - 9th International Symposium, ISBRA 2013, Proceedings. 2013. p. 76-86. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-38036-5_11

A simulation of synthetic agr system in E.coli

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